Autonomous Systems in Agriculture

The emergence of autonomous systems in agriculture signifies a transformative change in global food production, propelled by developments in artificial intelligence, robotics, and data analytics. This chapter suggests a thorough innovation framework that brings together technological, organizational, institutional, economic, social, and environmental aspects to steer the sustainable development and implementation of autonomous agricultural technologies. The chapter examines essential facilitators and obstacles to innovation, such as infrastructure deficiencies, digital literacy, and regulatory challenges, by analyzing historical trends, case studies, and policy landscapes. It stresses ethical and inclusive innovation to guarantee the involvement of smallholders and ecological resilience. This framework acts as a strategic resource for researchers, practitioners, and policymakers who seek to connect digital transformation in agriculture with sustainability objectives, especially those outlined by the UN Sustainable Development Goals (SDGs).